How GraphRAG Outperforms Vector Search in Enterprise LLM Accuracy
Diffbot’s KG-LM Benchmark showed GraphRAG outperforming vector RAG 3.4x. FalkorDB’s 2025 SDK pushes that to 90%+ accuracy for schema-heavy enterprise queries.
Why Your GenAI Project Needs AI-Ready Data: How to Get It Right
Without AI-ready data, most generative AI projects fail. Learn to standardize enterprise data with graph databases like FalkorDB for scalable AI success.
VectorRAG vs GraphRAG: Technical Challenges in Enterprise Generative AI
A technical deep-dive comparing VectorRAG vs GraphRAG architectures across 10 critical engineering dimensions, helping AI architects make data-driven decisions for enterprise generative AI implementations.
A Guide to Implementing a GraphRAG Workflow Using FalkorDB, LangChain and LangGraph
Discover how to implement GraphRAG using FalkorDB’s hybrid query capabilities combined with LangChain and LangGraph to build AI systems that leverage both graph relationships and semantic search.
Streamline Document Processing Pipelines with FalkorDB’s String Loader
Process documents directly using our string loader feature. Integrate LangChain and LlamaIndex to chunk and load data, building tailored knowledge graphs.
Skip the Setup: Deploy GraphRAG Apps with FalkorDB on Lightning.ai
FalkorDB joins forces with Lightning.ai to simplify GraphRAG deployment. No local setup, cloud-ready, and optimized for scalable AI workflows.
New Release: GraphRAG-SDK 0.5 – Simplifying Knowledge Graph Integration for LLMs
GraphRAG-SDK 0.5 simplifies knowledge graph workflows—auto-load ontologies, connect to LLMs, and query your data with ease. No manual ontology setup needed.
Overcome Gartner’s Top RAG Challenges with FalkorDB (5 Tips)
Graph RAG emerges as a powerful solution to Gartner’s RAG system challenges, offering improved data representation, retrieval mechanisms, and context preservation compared to Vector RAG.
FalkorDB Integrates with Cognee for Smarter AI Systems
FalkorDB’s integration with Cognee empowers developers to build smarter AI systems with improved query precision and reduced hallucinations.
Survey: GraphRAG and Knowledge Graphs for Large Language Models
The seminal paper “Unifying Large Language Models and Knowledge Graphs: A Roadmap” published on June 14, 2023, presents a comprehensive framework for integrating the emergent capabilities of Large Language Models (LLMs) with the structured knowledge representation of Knowledge Graphs (KGs) Authored by Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu, […]
